A triplestore or RDF store is a purpose-built database for the storage and retrieval of triples[1] through semantic queries. A triple is a data entity composed of subject–predicate–object, like "Bob is 35" (i.e., Bob's age measured in years is 35) or "Bob knows Fred".

Much like a relational database, information in a triplestore is stored and retrieved via a query language. Unlike a relational database, a triplestore is optimized for the storage and retrieval of triples. In addition to queries, triples can usually be imported and exported using the Resource Description Framework (RDF) and other formats.

Implementations

Some triplestores have been built as database engines from scratch, while others have been built on top of existing commercial relational database engines (such as SQL-based)[2] or NoSQL document-oriented database engines.[3] Like the early development of online analytical processing (OLAP) databases, this intermediate approach allowed large and powerful database engines to be constructed for little programming effort in the initial phases of triplestore development. A difficulty with implementing triplestores over SQL is that although "triples" may thus be "stored", implementing efficient querying of a graph-based RDF model (such as mapping from SPARQL) onto SQL queries is difficult.[4]

Adding a name to the triple makes a "quad store" or named graph.

A graph database has a more generalized structure than a triplestore, using graph structures with nodes, edges, and properties to represent and store data. Graph databases might provide index-free adjacency, meaning every element contains a direct pointer to its adjacent elements, and no index lookups are necessary. General graph databases that can store any graph are distinct from specialized graph databases such as triplestores and network databases.

See also

References

  1. ↑ TripleStore, Jack Rusher, Simple Knowledge Organization System § SWAD-Europe (2002–2004), Workshop on Semantic Web Storage and Retrieval – Position Papers.
  2. ↑ GB 2384875, Dingley, Andrew Peter, "Storage and management of semi-structured data", published 2005-04-27, assigned to Hewlett-Packard Co., now expired; use of SQL relational databases as an RDF triple store.
  3. ↑ Cagle, Kurt. "Semantics + Search : MarkLogic 7 Gets RDF". Retrieved 7 August 2015.
  4. ↑ Broekstra, Jeen (19 September 2007). "The importance of SPARQL can not be overestimated".

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